We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. The thesis offers the opportunity to work on state-of-the-art research at the interface of control engineering, system identification, machine learning, and sustainable energy systems while contributing to the advancement of hydrogen technologies for the energy transition. * Currently pursuing a master's degree in automation engineering, process engineering, mechanical engineering or a comparable field of study * Strong interest in control engineering, system dynamics and mathematical modeling
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